Fewer Errors, but More Stereotypes? The Effect of Model Size on Gender Bias

20 June 2022

Papers citing "Fewer Errors, but More Stereotypes? The Effect of Model Size on Gender Bias"

22 / 22 papers shown

Title
Quantifying Memorization Across Neural Language Models Nicholas Carlini Daphne Ippolito Matthew Jagielski Katherine Lee Florian Tramèr Chiyuan Zhang PILM 121 628 0 15 Feb 2022
Evaluating Gender Bias in Natural Language Inference Shanya Sharma Manan Dey Koustuv Sinha 50 41 0 12 May 2021
Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus Jesse Dodge Maarten Sap Ana Marasović William Agnew Gabriel Ilharco Dirk Groeneveld Margaret Mitchell Matt Gardner AILaw 118 448 0 18 Apr 2021
Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models Daniel de Vassimon Manela D. Errington Thomas Fisher B. V. Breugel Pasquale Minervini 43 94 0 24 Jan 2021
CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models Nikita Nangia Clara Vania Rasika Bhalerao Samuel R. Bowman 123 682 0 30 Sep 2020
DeBERTa: Decoding-enhanced BERT with Disentangled Attention Pengcheng He Xiaodong Liu Jianfeng Gao Weizhu Chen AAML 161 2,747 0 05 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 826 42,332 0 28 May 2020
StereoSet: Measuring stereotypical bias in pretrained language models Moin Nadeem Anna Bethke Siva Reddy 101 1,011 0 20 Apr 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 445 20,298 0 23 Oct 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 668 24,528 0 26 Jul 2019
Measuring Bias in Contextualized Word Representations Keita Kurita Nidhi Vyas Ayush Pareek A. Black Yulia Tsvetkov 106 451 0 18 Jun 2019
Evaluating Gender Bias in Machine Translation Gabriel Stanovsky Noah A. Smith Luke Zettlemoyer 91 406 0 03 Jun 2019
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems Alex Jinpeng Wang Yada Pruksachatkun Nikita Nangia Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 274 2,315 0 02 May 2019
On Measuring Social Biases in Sentence Encoders Chandler May Alex Jinpeng Wang Shikha Bordia Samuel R. Bowman Rachel Rudinger 99 603 0 25 Mar 2019
BERT has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model Alex Jinpeng Wang Kyunghyun Cho VLM 82 358 0 11 Feb 2019
Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting Maria De-Arteaga Alexey Romanov Hanna M. Wallach J. Chayes C. Borgs Alexandra Chouldechova S. Geyik K. Kenthapadi Adam Tauman Kalai 191 460 0 27 Jan 2019
Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems S. Kiritchenko Saif M. Mohammad FaML 86 439 0 11 May 2018
Gender Bias in Coreference Resolution Rachel Rudinger Jason Naradowsky Brian Leonard Benjamin Van Durme 72 644 0 25 Apr 2018
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods Jieyu Zhao Tianlu Wang Mark Yatskar Vicente Ordonez Kai-Wei Chang 124 941 0 18 Apr 2018
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost Noam M. Shazeer Mitchell Stern ODL 84 1,051 0 11 Apr 2018
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference Adina Williams Nikita Nangia Samuel R. Bowman 524 4,492 0 18 Apr 2017
Semantics derived automatically from language corpora contain human-like biases Aylin Caliskan J. Bryson Arvind Narayanan 213 2,673 0 25 Aug 2016